4 citations · 5 across the 5 of their papers we have counts for
6 papers
A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data
Yinong Wang, Jianwen Chen, Zhou Chen +28
We developed BrainVLM to classify all 12 World Health Organization (WHO) 2021 brain tumor types. BrainVLM integrates an uncertainty quantification strategy to indicate prediction r…
SteLLA: A Structured Grading System Using LLMs with RAG
Hefei Qiu, Brian White, Ashley Ding +4
Large Language Models (LLMs) have shown strong general capabilities in many applications. However, how to make them reliable tools for some specific tasks such as automated short a…
Generalized Category Discovery with Decoupled Prototypical Network
Wenbin An, Feng Tian, Qinghua Zheng +3
Generalized Category Discovery (GCD) aims to recognize both known and novel categories from a set of unlabeled data, based on another dataset labeled with only known categories. Wi…
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance
Matthew Almeida, Wei Ding, Scott Crouter +1
The study of model bias and variance with respect to decision boundaries is critically important in supervised classification. There is generally a tradeoff between the two, as fin…
Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation
Kevin M. Amaral, Ping Chen, Scott Crouter +1
Accelerometer measurements are the prime type of sensor information most think of when seeking to measure physical activity. On the market, there are many fitness measuring devices…
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer
Jipeng Qiang, Wei Ding, John Quackenbush +1
While we once thought of cancer as single monolithic diseases affecting a specific organ site, we now understand that there are many subtypes of cancer defined by unique patterns o…